Skill: GCP Data Engineer
Skill: 6 to 13 years
Location: Gurgaon
Job description
Google Cloud - Cloud - GCP (Technical) Sr. Data Engineer / Sr. BI Developer - DAA responsible for leading GCP platform engineering, data engineering, and BI solutions delivery. Candidate must have relevant experience of 5 to 9 Years. The role focuses on designing, implementing, and optimizing GCP-based data platforms, ensuring robust, scalable, and secure data and analytics environments.
Key Responsibilities
· Act as GCP Lead Platform Engineer for data and analytics initiatives, providing technical leadership across design, implementation, and operations.
Design, set up, and configure core GCP services including Compute Engine, Cloud Storage, DataProc, Composer, and Terraform-based infrastructure.
· Configure and fine-tune various configuration parameters for each GCP service and explain how those parameters change the behaviour of the GCP service for users.
· Build and maintain scalable data pipelines and platforms to support DAA (Data, Analytics Automation) use cases.
Implement Infrastructure as Code (IaC) using Terraform for repeatable, consistent, and secure GCP environment provisioning.
· Design and manage networking components including VPC, subnets, routing, and Cloud DNS for secure and performant connectivity.
· Collaborate with security and platform teams to embed security best practices across GCP services and data platforms.
· Support and, where applicable, administer GKE environments, working closely with application and data teams.
· Implement and optimize observability using Google Cloud Monitoring and Logging for system health, performance, and reliability.
· Work with BI and analytics teams to ensure data platforms meet reporting, dashboarding, and advanced analytics requirements.
· Troubleshoot and resolve platform, performance, and configuration issues across GCP services.
· Document architectures, configurations, and operational runbooks for ongoing support and knowledge sharing.
Other Capabilities
· Ability to translate business and analytics requirements into scalable GCP platform designs.
· Strong problem-solving mindset with focus on reliability, performance, and cost optimization.
· Effective collaboration skills to work with cross-functional teams including data engineers, BI developers, architects, and security teams.
· Capability to mentor junior engineers and contribute to best practices and standards for GCP usage.
Qualifications and Skills
· Proven experience as Sr. Data Engineer, Sr. BI Developer, or GCP Platform Engineer working on data and analytics platforms.
· Expert knowledge is must in core GCP services (Compute Engine, Cloud Storage, DataProc, Composer, Terraform).
· Strong understanding of various configuration parameters for each of the above GCP services and how those parameters impact service behaviour for users.
Solid experience in Networking (VPC, Cloud DNS) and security practices in GCP.
GKE administration is huge plus.
· Familiarity with Google Cloud Monitoring and Logging for system observability.
Experience with data engineering or BI development in cloud environments, preferably on GCP.
· Strong scripting or automation skills (e.g., Python, shell) are desirable.
· Good communication skills to explain technical concepts and configuration impacts to stakeholders
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
